scholarly journals Factors Affecting Household Income Among Motorcycle Operators. A Case of Embu County Residence, Kenya

2023 ◽  
Vol 5 (2) ◽  
pp. 48-56
Author(s):  
Gitonga Veronica Wawira ◽  
Ernest Saina ◽  
Koech Ronald
Keyword(s):  
Household Income ◽  
Factors Affecting

The Role of Female’s Participation in Economic Activity to Household Income The Case of Mizan Aman Town, South Nation Nationality And People’s Region, Ethiopia

2021 ◽  
Author(s):  
Kemal Omer Ahmed
Keyword(s):  
Household Income ◽  
Simple Random Sampling ◽  
Linear Regression Method ◽  
Economic Activities ◽  
Factors Affecting ◽  
Household Decision ◽  
Secondary Sources ◽  
Women's Participation ◽  
Descriptive Method

Abstract The main aim of the study was to examine the role of females' economic participation in household income. To achieve this objective both primary and secondary sources of data were collected from 400 sample size using simple random sampling method. The obtained data were first analyzed using a descriptive method to describe socio-economic characteristics of women in the study area. Secondly, to identify determinants of women’s participation in economic activities and household decision-making process logit model was employed and finally, multiple linear regression method was applied to identify factors affecting the level of women's contribution to household income. The result shows that female participation in economic activities positively determines by women's training and woman’s education level and is negatively affected by the presence of children under five years of age. The contribution of women to household income on average was estimated birr 32,400.50 per annum which was nearly 36.8percent of the overall household income. The possible recommendation is government and other respective bodies must encourage women to learn more and more.

Determining the factors affecting the consumers' willingness to pay higher prices for genetically unmodified products

2009 ◽  
Vol 111 (11) ◽  
pp. 1188-1199 ◽  
Author(s):  
Z. Gokalp Goktolga ◽  
Kemal Esengun
Keyword(s):  
Willingness To Pay ◽  
Household Income ◽  
Consumer Preference ◽  
Household Size ◽  
Negative Effects ◽  
Content Type ◽  
Factors Affecting ◽  
Monthly Household Income ◽  
Positive Effects ◽  
Conducting Research

PurposeThe purpose of this paper is to determine the factors affecting the consumers' willingness to pay higher prices for genetically unmodified products.Design/methodology/approachTomato was selected as a model crop. Data used in this study were gathered from questionnaires conducted in Tokat province of Turkey in April 2006. Questionnaires were accomplished via face‐to‐face interviews over 262 households. “Ordered logit model” was used in determining the factors that affect the willingness of consumers for higher prices for genetically unmodified products. Ordered models are those that limit dependent variables to certain intervals. According to the results, variables of household size, monthly household income, household's monthly food consumption expenditure and level of consumers' sensitivity over the issue affected the willingness to pay higher prices for genetically unmodified products.FindingsResults of the study indicated that household size and monthly household income had negative effects on the willingness to pay extra, while monthly food expenditure and concern had positive effects.Originality/valueThe results of the study will be beneficial for the policy makers, producers, consumers and those conducting research in this area alike. Carrying out studies aimed at determining consumer preference, such as this, will help form consumer consciousness, especially in Turkey, to protect consumer health.

scholarly journals ANALISIS PENDAPATAN USAHA PETERNAKAN SAPI POTONG BERBASIS SISTEM INTEGRASI DI KABUPATEN SITUBONDO

BUANA SAINS ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 103
Author(s):  
Ariani Trisna Murti ◽  
Farida Kusuma Astuti
Keyword(s):  
Beef Cattle ◽  
System Integration ◽  
Household Income ◽  
Agricultural Land ◽  
Rice Fields ◽  
Development Effort ◽  
Integration System ◽  
Factors Affecting ◽  
Livestock Farmers ◽  
Paddy Farmers

The research was conducted on farmer-based system that is integrated beef cattle business with agricultural land in Situbondo. Situbondo is an agricultural area that has potential as regional business development effort of cattle with rice fields. This research was conducted in Situbondo on 5 August to 12 September 2014. The choice of location research is done intentionally (purposive) in consideration because the area is one of the fields and the majority of people work as petani.Tujuan of this study was to determine the magnitude household income of cattle on beef cattle business integration system and to determine the household income of paddy farmers' efforts. Samples were observed in this study were 39 respondents, and data analysis using the formula to determine the income analysis-cattle farmers' income, the contribution formula to determine the contribution of farming to income-livestock farmers. The results showed that revenues in the system integration business beef with rice fields Rp. 28,434,100.1. Suggestions in the study should be the ranchers and farmers of system integration in Situbondo increase to the maximum all the factors affecting the production of beef cattle business productivity, thereby automatically breeders and farmers' income will also

scholarly journals PENDAPATAN DAN FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI UBI KAYU MANIS DAN UBI KAYU PAHIT DI KECAMATAN SEPUTIH BANYAK KABUPATEN LAMPUNG TENGAH

2020 ◽  
Vol 8 (2) ◽  
pp. 226
Author(s):  
Jessica Anggraesi ◽  
Raden Hanung Ismono ◽  
Suriaty Situmorang
Keyword(s):  
Household Income ◽  
Random Sampling ◽  
Land Area ◽  
Factors Affecting ◽  
Production Factors ◽  
Significant Difference ◽  
Npk Fertilizer ◽  
Bitter Cassava ◽  
Sweet Cassava ◽  
Douglas Production Function

The objectives of this study are to analyze factors affecting production, analyze the percentage of cassava farming income contribution to household income, and analyze the differences income of sweet cassava and bitter cassava farming. This research was conducted in March to April 2018 in Seputih Banyak, Central Lampung. The to determine production factors, the study used Cobb-Douglas production function. To determine contribution of cassava farming income to household income, the study used production analysis, while to determine income of sweet cassava and bitter cassava farming, the study used Independent Sample T-Test. The number of sample for bitter and sweet cassava were 30 respondents each chosen by non-proportional random sampling. The study indicates that the factors affecting production of bitter cassava are NPK fertilizer, urea fertilizer, SP-36 fertilizer, and harvest age, while the factors that significantly influence sweet cassava are land area and NPK fertilizer. The contribution of industrial cassava farming income to household income is 75.01%, while sweet cassava income only accounts for 6.95% of total household income. There is a significant difference between the income of sweet cassava farming and bitter cassava farming.Key words: cassava, income, production

scholarly journals An Analysis of Household Expenditures on Nursery Products in the United States

1990 ◽  
Vol 22 (2) ◽  
pp. 199-208 ◽  
Author(s):  
Wayne M. Gineo ◽  
S. Were Omamo
Keyword(s):  
United States ◽  
Household Income ◽  
The United States ◽  
Single Family ◽  
Key Factors ◽  
Age Composition ◽  
Household Expenditures ◽  
Factors Affecting ◽  
Competitive Edge ◽  
Home Construction

Abstract This paper develops Engel relationships to identify the determinants of household expenditures on nursery products and specifies their impact on consumer purchases of these goods for subregions of the United States. Household income, the number of single family home construction starts, educational level attained, and age composition of the population were found in influence nursery product expenditures. The economic variables of income and construction starts appear to be key factors affecting nursery purchases. To maintain a competitive edge, industry participants should monitor these variables carefully and adjust their production and marketing plans to meet changing market conditions.

scholarly journals The Socio-economic Factors Affecting Animal Breeding in Urban Households

2017 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Jawad Atef Al-Dala'een
Keyword(s):  
Household Income ◽  
Animal Production ◽  
Animal Breeding ◽  
Economic Conditions ◽  
Economic Factors ◽  
Factors Affecting ◽  
Urban Households ◽  
Suburban Areas ◽  
Household Gardens ◽  
Socio Economic Factors

The objective of this research is to investigate the socio-economic conditions of households who have animal production gardens. The questionnaire was used to collect data. The questionnaire concentrated on collecting data about animal breeding patters, the extent of these animals in these gardens. The sample was distributed on six stratified layers each layer represent a pattern of household income except the sixth layers which represents household gardens suburban areas. The results showed that households concentrate on animal breeding in their gardens. The type of animal breeding depends on the location of layers and laws, which regulate this process. In suburban areas, all kinds of animal were allowed to breed in household gardens. The production attained of animal breeding was very considerable and can be considered as part of household income.

Assessing the potential of beef cattle farming as contributor to income of communal households of Chief Albert Luthuli municipality in Mpumalanga province, South Africa

2016 ◽  
Author(s):  
S. H. Molefi ◽  
C. A. Mbajiorgu
Keyword(s):  
South Africa ◽  
High School ◽  
Rural Communities ◽  
Beef Cattle ◽  
Junior High School ◽  
Household Income ◽  
Years Of Experience ◽  
Factors Affecting ◽  
Mpumalanga Province ◽  
Cattle Farming

The study was conducted across four rural communities of Chief Albert Luthuli municipality in the Mpumalanga province of South Africa. The objective of the study was to assess the contribution of beef cattle farming to household income in Chief Albert Luthuli municipality of Mpumalanga Province, South Africa. Data were analyzed descriptively. Simultaneously, multiple regression analysis was used to determine the factors affecting the contribution of beef cattle in household income in the study area. Results showed that 50% each of both the male and female farmers were engaged in beef cattle farming. 50.5% of respondents were more than 51 years old and therefore not in productive age with 40% of respondents aged between 41 - 50 years old. 7% of respondents have 1 - 2 dependents, while 11.5% of respondents have 3 - 4 dependents and 35.5% have more than 4 dependents. However, 46% of respondents have other dependents which they did not specify. 22.5% of respondents have 1-10 years of beef cattle farming experience while 14% have 11 - 12 years of experience. However, 21% of respondents have more than 20 years of experience and 39.5% have 50 - 60 years of experience on beef cattle farming. 40.5% of respondents acquired grade 11 or below and 45% of respondents had no school education, elementary school, junior high school, and senior high school. The contribution of beef cattle farming to household's income in communal areas of Chief Albert Luthuli is 19%. Also, number of beef cattle and age of mortality hold significant influence on the farmer's income from beef cattle.

scholarly journals Analysis Income and Household Expenses Based on Livelihood

2021 ◽  
Vol 232 ◽  
pp. 01005
Author(s):  
Wahyudi Hariyanto ◽  
Tota Suhendrata ◽  
Sodiq Jauhari
Keyword(s):  
Household Income ◽  
Agricultural Practices ◽  
Average Income ◽  
Factors Affecting ◽  
Data Presentation ◽  
Interactive Analysis ◽  
Income Sources ◽  
Education And Health ◽  
The Government ◽  
On Farm

The welfare of small farmer households has been essential; however, many of them who rely upon only on-farm find it difficult to cover their household expenses. The aims of the study were to identify various types of farmer household income sources and to analyze factors affecting farmer household income and expenditure. The study conducted in Boloh village, Toroh sub-district of Grobogan district from July to August 2018 analyzed data collected qualitatively, which referred to data reduction, data presentation, and withdrawal of conclusions using interactive analysis. The result showed that the average income of farmer households from on-farm was IDR. 18.987.000 per year, off-farm IDR. 14,825,000, and non-farm was IDR 25,925,000 per year; thus, the total of both was IDR 4,978,000 per month on average. Meanwhile, the average the total expenses was IDR 24,335,000 per year or IDR 2,028,000 per month consisting of food and transportation (61%), housing and appliances (6%), Household Facilities (13%), education and health (4%), agriculture (3%), and others (14%). Farmers depending only on agricultural activities without having non-farm jobs shall not be able to cover household expenses needed. Farmers should change their agricultural practices from traditional to modern. The government should have farmer provided supporting policy.

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